Overview
| DOI | https://doi.org/10.3334/ORNLDAAC/1683 |
|---|---|
| Version | 1 |
| Project | |
| Published | 2019-09-12 |
| Updated | 2019-09-12 |
| Usage | 242 downloads |
| Citations | 2 publications cited this dataset |
Description
This dataset provides gridded estimates of soil CO2 flux (g C m-2 d-1) for the winter non-growing season (NGS) across pan-Arctic and Boreal permafrost regions (>49 Deg N), at 25 km spatial resolution. The data are the daily average flux over a monthly period for two climate periods: the baseline climate period represents 2003-2018 and the future climate scenarios period represents 2018-2100 under Representative Concentration Pathways (RCP) 4.5 and 8.5. The data were produced by applying a Boosted Regression Tree machine learning approach to create gridded estimates of emissions based on in situ observations of NGS fluxes provided in a related dataset. The resulting monthly average flux data records can be used to calculate annual NGS soil CO2 flux budgets from 2003-2100.
Science Keywords
- LAND SURFACE
- SOILS
- CARBON
- ATMOSPHERE
- ATMOSPHERIC CHEMISTRY
- CARBON AND HYDROCARBON COMPOUNDS
- ATMOSPHERIC CARBON DIOXIDE
- LAND SURFACE
- SOILS
- SOIL RESPIRATION
- LAND SURFACE
- FROZEN GROUND
- PERMAFROST
Data Use and Citation
This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy. See our Data Use and Citation Policy for more information.
Data Files
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Companion Files
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Dataset Companion Files
Dataset has 1 companion files.
- Soil_Carbon_Flux_Maps.pdf